This tutorial presents a novel yet accessible approach that combines cluster analysis of net displacement values with boosted regression trees to classify migration patterns of Iberian little bustards. The dataset used consists of satellite-tagged records of little bustards, available on MoveBank. The tutorial explains the analyses conducted in the study “Individual variability in migration patterns of Iberian little bustards”.

program 9-14

Outcome scores of F&D

World map for apple origin and its distribution

Timeline for Case Arguments Under Scrutiny: An Empirical Review of Legal Claims Against Mifepristone Regulation

This documents injects a high-fidelity mockup of the analysis workflow: first loading core R packages (tidyverse, sf, httr, ows4R, tmap, tmaptools), then connecting to Berlin’s GDI WFS services to fetch and reproject district boundaries and allotment-garden parcels into EPSG:25833. Spatial filtering (st_within, st_overlaps) isolates gardens inside Marzahn-Hellersdorf, unwanted columns are dropped and variables recoded (e.g. ownership, intermediary tenants). Finally, the interactive map is rendered with tmap (Leaflet view) and a static HTML visualization with custom colors, title, and credits.